Articles | Volume 27, issue 10
https://doi.org/10.5194/hess-27-1945-2023
https://doi.org/10.5194/hess-27-1945-2023
Research article
 | 
22 May 2023
Research article |  | 22 May 2023

Statistical post-processing of precipitation forecasts using circulation classifications and spatiotemporal deep neural networks

Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-432', Anonymous Referee #1, 17 Jan 2023
    • AC1: 'Reply on RC1', Zhongmin Liang, 17 Feb 2023
  • RC2: 'Comment on hess-2022-432', Anonymous Referee #2, 28 Jan 2023
    • AC2: 'Reply on RC2', Zhongmin Liang, 17 Feb 2023
  • RC3: 'Comment on hess-2022-432', Anonymous Referee #3, 29 Jan 2023
    • AC3: 'Reply on RC3', Zhongmin Liang, 17 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (02 Mar 2023) by Xing Yuan
AR by Zhongmin Liang on behalf of the Authors (23 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (23 Mar 2023) by Xing Yuan
RR by Anonymous Referee #1 (24 Mar 2023)
RR by Anonymous Referee #2 (10 Apr 2023)
RR by Anonymous Referee #3 (16 Apr 2023)
ED: Publish as is (20 Apr 2023) by Xing Yuan
AR by Zhongmin Liang on behalf of the Authors (21 Apr 2023)  Manuscript 
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Short summary
We use circulation classifications and spatiotemporal deep neural networks to correct raw daily forecast precipitation by combining large-scale circulation patterns with local spatiotemporal information. We find that the method not only captures the westward and northward movement of the western Pacific subtropical high but also shows substantially higher bias-correction capabilities than existing standard methods in terms of spatial scale, timescale, and intensity.